AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 223
... trajectory X original trajectory xi- improved trajectory X -W Figure 5. Variable horizon MPC . Lyapunov analysis is complicated by the fact that the control is not unique . A direct proof of stability is , however , possible . Since the ...
... trajectory X original trajectory xi- improved trajectory X -W Figure 5. Variable horizon MPC . Lyapunov analysis is complicated by the fact that the control is not unique . A direct proof of stability is , however , possible . Since the ...
Page 248
... trajectory time constant . Future CV deviations from the reference trajectory are penalized . In the limit of a zero time constant the reference trajectory re- verts back to a pure setpoint ; for this case , however , the con- troller ...
... trajectory time constant . Future CV deviations from the reference trajectory are penalized . In the limit of a zero time constant the reference trajectory re- verts back to a pure setpoint ; for this case , however , the con- troller ...
Page 316
... trajectory leads to a feasible jacket temperature trajectory . In this section we derive the required jacket temperature using a " perfect control " assumption . temperature Ojmax jacket ej Ꮎ reactor 0 ; ( 0 ) 0 ( 0 ) Imax Tramp time ...
... trajectory leads to a feasible jacket temperature trajectory . In this section we derive the required jacket temperature using a " perfect control " assumption . temperature Ojmax jacket ej Ꮎ reactor 0 ; ( 0 ) 0 ( 0 ) Imax Tramp time ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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adaptive control AIChE algorithm analysis analytical applications approach auto-correlation batch behavior changes Chem Chemical Engineering chemical process chip closed-loop constraints continuous control problems control system controller design defined developed discrete disturbance dynamic equations estimation example feedback control Figure finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measured methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameters Petri net PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program reactor robust robust control scheduling sensors sequence set point significant simulation snack food solution specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables variance vector wafer